Impact/significance — how will the findings affect the research field (and the world)?

Novelty/originality — how big a leap are the ideas, especially the methods, compared to what was already known?

There are additional considerations such as the clarity of the presentation and appropriate citations of prior work, but in this post I’ll focus on the three primary criteria above. How should reviewers weigh these three components relative to each other? There’s no single right answer, but I’ll lay out some suggestions.

First, note that the three criteria differ greatly in terms of reviewers’ ability to judge them:

Correctness can be evaluated at review time, at least in principle.

Impact can at best be predicted at review time. In retrospect (say, 10 years after publication), informed peers will probably agree with each other about a paper’s impact.

Novelty, in contrast to the other two criteria, seems to be a fundamentally subjective notion.

We can all agree that incorrect papers should not be accepted. Peer review would lose its meaning without that requirement. In practice, there are complications ranging from the difficulty of verifying mathematical proofs to the statistical nature of research claims; the latter has led to replication crises in many fields. But as a principle, it’s clear that reviewers shouldn’t compromise on correctness.

Should reviewers even care about impact or novelty?

It’s less obvious why peer review should uphold standards of (predicted) impact or (perceived) novelty. If papers weren’t filtered for impact, presumably it would burden readers by making it harder to figure out which papers to pay attention to. So peer reviewers perform a service to readers by rejecting low-impact papers, but this type of gatekeeping does collateral damage: many world-changing discoveries were initially rejected as insignificant.

The argument for novelty of ideas and methods as a review criterion is different: we want to encourage papers that make contributions beyond their immediate findings, that is, papers that introduce methods that will allow other researchers to make new discoveries in the future.

In practice, novelty is often a euphemism for cleverness, which is a perversion of the intent. Readers aren’t served by needlessly clever papers. Who cares about cleverness? People who are evaluating researchers: hiring and promotion committees. Thus, publishing in a venue that emphasizes novelty becomes a badge of merit for researchers to highlight in their CVs. In turn, forums that publish such papers are seen as prestigious.

Because of this self-serving aspect, today’s peer review over-emphasizes novelty. Sure, we need occasional breakthroughs, but mostly science progresses in a careful, methodical way, and papers that do this important work are undervalued. In many fields of study, publishing is at risk of devolving into a contest where academics impress each other with their cleverness.

There is at least one prominent journal, PLoS One, whose peer reviewers are tasked with checking only correctness, with impact and novelty being left to be sorted out post-publication. But for most journals and peer-reviewed conferences, the limited number of publication slots means that there will inevitably be gatekeeping based on impact and/or novelty.

Suggestions for reviewers

Given this reality, here are four suggestions for reviewers. This list is far from comprehensive, and narrowly focused on the question of weighing the three criteria.

Be explicit about how you rate the paper on correctness, impact, and novelty (and any other factors such as clarity of the writing). Ideally, review forms should insist on separate ratings for the criteria. This makes your review much more actionable for the authors: should they address flaws in the work, try harder to convince the world of its importance, or abandon it entirely?

Learn to recognize your own biases in assessing impact and novelty, and accept that these assessments might be wrong or subjective. Be open to a discussion with other reviewers that might change your mind.

Not every paper needs to maximize all three criteria. Consider accepting papers with important results even if they aren’t highly novel, and conversely, papers that are judged to be innovative even if the potential impact isn’t immediately clear. But don’t reward cleverness for the sake of cleverness; that’s not what novelty is supposed to be about.

Above all, be supportive of authors. If you rated a paper low on impact or novelty, do your best to explain why.

Conclusion

Over the last 150 years, peer review has evolved to be more and more of a competition. There are some advantages to this model, but it makes it easy for reviewers to lose touch with the purpose of peer review and basic norms of civility. Once in a while, we need to ask ourselves critical questions about what we’re doing and how best to do it. I hope this post was useful for such a reflection.

The research community is buzzing about the ethics of Facebook’s now-famous experiment in which it manipulated the emotional content of users’ news feeds to see how that would affect users’ activity on the site. (The paper, by Adam Kramer of Facebook, Jamie Guillory of UCSF, and Jeffrey Hancock of Cornell, appeared in Proceedings of the National Academy of Sciences.)

The main dispute seems to be between people such as James Grimmelmann and Zeynep Tufecki who see this as a clear violation of research ethics; versus people such as Tal Yarkoni who see it as consistent with ordinary practices for a big online company like Facebook.

One explanation for the controversy is the large gap between the ethical standards of industry practice, versus the research community’s ethical standards for human subjects studies.[Read more…]

I have a new piece in Slate, on how the DMCA chills security research. In the piece, I tell three stories of DMCA threats against Alex Halderman and me, and talk about how Congress can fix the problem.

“These days almost everything we do in life is mediated by technology. Too often the systems we rely on are black boxes that we aren’t allowed to adjust, repair, or—too often—even to understand. A new generation of students wants to open them up, see how they work, and improve them. These students are the key to our future productivity—not to mention the security of our devices today. What we need is for the law to get out of their way.”

Freedom to Tinker is hosted by Princeton's Center for Information Technology Policy, a research center that studies digital technologies in public life. Here you'll find comment and analysis from the digital frontier, written by the Center's faculty, students, and friends.